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Machine learning-based FEMA Transitional Shelter Assistance (TSA) eligibility prediction models.

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Title: Machine learning-based FEMA Transitional Shelter Assistance (TSA) eligibility prediction models.
Authors: Afkhamiaghda M; Purdue University, West Lafayette, Indiana., Elwakil E; School of Construction Management, Purdue University, West Lafayette, Indiana.
Source: Journal of emergency management (Weston, Mass.) [J Emerg Manag] 2021 Nov-Dec; Vol. 19 (6), pp. 561-573.
Publication Type: Journal Article
Journal Info: Publisher: Prime National Pub. Corp Country of Publication: United States NLM ID: 101284695 Publication Model: Print Cited Medium: Print ISSN: 1543-5865 (Print) Linking ISSN: 15435865 NLM ISO Abbreviation: J Emerg Manag Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AU" term="%22Afkhamiaghda+M%22">Afkhamiaghda M</searchLink>; Purdue University, West Lafayette, Indiana.<br /><searchLink fieldCode="AU" term="%22Elwakil+E%22">Elwakil E</searchLink>; School of Construction Management, Purdue University, West Lafayette, Indiana.
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      – Type: doi
        Value: 10.5055/jem.0595
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      – Code: eng
        Text: English
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        StartPage: 561
    Titles:
      – TitleFull: Machine learning-based FEMA Transitional Shelter Assistance (TSA) eligibility prediction models.
        Type: main
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            NameFull: Afkhamiaghda M
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            NameFull: Elwakil E
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            – D: 01
              M: 11
              Text: 2021 Nov-Dec
              Type: published
              Y: 2021
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              Value: 1543-5865
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              Value: 19
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              Value: 6
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            – TitleFull: Journal of emergency management (Weston, Mass.)
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